用定制的夹子验证体内髌骨跟踪:一项透视研究

Chen-Yi Song, Jyh‐Horng Wang, Wei-Chun Chen, M. Jan, Jiu-Jenq Lin
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引用次数: 1

摘要

髌骨追踪评估已被认为是髌股疾病患者越来越重要的诊断工具。本研究旨在评估使用定制夹具测量体内髌骨跟踪的准确性。9名健康女大学生参与了研究。矢状位透视用于跟踪每个受试者在弓步时主腿的夹钳和髌骨的运动。在7个膝关节屈曲角度(0°,15°,30°,45°,60°,75°和90°)下,研究髌骨与夹钳之间的绝对角度/距离的运动模式(倾斜角度和位移)。髌骨和夹钳运动模式相似(倾斜角度:r= 0.94, P= 0.002;位移:r= 0.90, P= 0.007)。均方误差均小于3.5°和0.6 cm的均方误差均小于膝关节屈曲60°。绝对角度在膝关节屈曲90°时与0°相比有显著变化(P= 0.016)。膝关节屈曲60°至90°时,髌骨上缘与夹钳之间的绝对距离与0°相比有显著变化(均P< 0.05)。角度/距离变化可能代表皮肤运动伪影的影响,其表现超过膝关节屈曲60°。经过仔细考虑,定制的夹具可以提供合理准确的髌骨运动表征,可用于进一步研究髌骨病理和开发计算模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of In Vivo Patellar Tracking with a Custom-Made Clamp: A Fluoroscopy Study
Evaluation of patellar tracking has been suggested as an increasingly relevant diagnostic tool in patients with patellofemoral disorders. This study aimed to assess the accuracy of measuring in vivo patellar tracking with the use of a custom-made clamp. Nine healthy female college students participated. Sagittal-view fluoroscopy was used to track the movement of the clamp and the underlying patella of each subject's dominant leg during a lunge. The movement patterns (tilt angle and displacement) as well as the absolute angle/distance between the patella and clamp were investigated at 7 knee flexion angles (0°, 15°, 30°, 45°, 60°, 75°, and 90°). The patella and clamp showed similar movement patterns (tilt angle: r= 0.94, P= 0.002; displacement: r= 0.90, P= 0.007). The root mean squared error of less than 3.5° and 0.6 cm were identified below knee flexion 60°. The absolute angle significantly changed at knee flexion 90° compared to 0° (P= 0.016). The absolute distance between the upper edge of the patella and clamp significantly changed at knee flexion 60° to 90° as compared to 0° (all P< 0.05). The angle/distance change may represent an influence of a skin motion artifact manifesting beyond knee flexion 60°. With careful consideration, the custom-made clamp may offer reasonably accurate representations of patellar motion that can be used to further study patella pathologies and develop computational models.
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